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事故情景演变下的风险合分析:一个方法论构造和应用
Jianting Yao1,2, Boling Zhang1, Dongdong Wang1
1School of Emergency Management and Safety Engineering, China University of Mining and Technology-Beijing, Beijing, China.
概括
本研究引入了一个新的框架,用于分析动态情景中的合风险,重点是数字化和客观量化. 它有助于识别关键的风险因素,并了解事故演变,以防止级联故障.
科学领域:
- 风险分析 风险分析
- 系统工程是系统工程.
- 数据挖掘是一种数据挖掘.
背景情况:
- 动态过程往往涉及相互关联的风险,但当前的分析方法忽视了这些合效应.
- 需要一种全面的风险合方法,包括数字化和客观量化.
研究的目的:
- 为分析动态情景中的风险合提出一个综合框架.
- 通过整合全过程分析来解决现有研究的局限性.
主要方法:
- 采用加权Eclat算法用于采矿风险关联规则.
- 使用社交网络分析来确定关键的风险因素.
- 应用随机培养网用于构建,模拟和演变事故场景.
主要成果:
- 开发了一种通用框架,用于以过程为导向的分析事故场景演变的过程.
- 通过专注于关键因素和打破事故链条,证明了分离风险的能力.
- 通过对中国城市社区的火灾风险的应用来验证该框架的可行性和科学有效性.
结论:
- 拟议的框架为理解和管理复杂动态系统中的合风险提供了一种新的方法.
- 通过以过程为导向的分析和关键因素的识别,可以实现有效的风险脱和事故链中断.
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